Smart Crime Prevention in Smart City Tinjauan Pemetaan dan Rekomendasi Penerapan Sistem untuk Mendukung Smart Living di Banjarmasin Smart City

Authors

  • Saberan Politeknik Negeri Banjarmasin
  • Subandi Politeknik Negeri Banjarmasin
  • Aulia Akhrian Syahidi Politeknik Negeri Banjarmasin

Keywords:

intelligent city, smart city, smart crime prevention, smart living

Abstract

Crime in Indonesia, especially in Banjarmasin City, shows a decline between 2020-2022. However, the government must still be vigilant and maintain the safety of citizens from crime, especially in the context of its commitment to realizing a Smart City. Technological advances in Smart Cities also bring new challenges such as increased crime and security risks. This research aims to carry out mapping related to Smart Crime Prevention in the Smart City context to recommend a Smart Crime Prevention system that supports the Smart Living program in Banjarmasin Smart City. The method used is Mapping Review, which involves stages including determining research questions, selecting relevant reference sources, identifying appropriate keywords, carrying out filtering based on inclusion and exclusion criteria, and extracting and synthesizing relevant data. The results of this mapping show that the technology used in Smart Crime Prevention includes Computer Vision, Digital Image Processing, Internet of Things, Closed Circuit Television, Global Positioning System, Embedded Systems, Cloud Computing, Sensors, Big Data, Data Mining, and Artificial Intelligence. Its application includes urban environments, homes, roads, traffic, women’s safety against sexual harassment, and fire hazards and other threats. We recommend that Banjarmasin as a city that is realizing a Smart City must utilize these technologies and appropriate algorithms to minimize crime and keep citizens safe. This is important in supporting the Smart Living program in Banjarmasin City.

References

Viva B. K., 2022. Jumlah Tindak Kejahatan di Indonesia Turun dalam 1 Dekade Terakhir. [Online]. Tersedia di: https://databoks.katadata.co.id/datapublish/2022/12/13/jumlah-tindak-kejahatan-di-indonesia-turun-dalam-1-dekade-terakhir. [Accessed: 27 Februari 2023 pukul 22.00 WITA]

Pemko, 2020. Banjarmasin Smart City. [Online]. Tersedia di: https://smartcity.banjarmasinkota.go.id/. [Accessed: 27 Februari 2023 pukul 22.10 WITA]

Boyd C., 2012. The Top 10 Smart Cities on the Planet. [Online]. Tersedia di: https://www.fastcodesign.com/1679127/the-top10-smart-cities-on-the-planet. [Accessed: 27 Februari 2023 pukul 22.25 WITA]

Noor M., 2021. Angka Kriminal di Banjarmasin Turun Selama 2021. [Online]. Tersedia di: https://banjarmasin.tribunnews.com/2021/12/31/angka-kriminal-di-banjarmasin-turun-selama-2021-mutilas-jadi-kasus-paling-menonjol. [Accessed: 27 Februari 2023 pukul 22.15 WITA]

Julia v. H., Katrin A., and Martina Z. 2016. “How Fear of Crime Affects Needs for Privacy & Safety”: Acceptance of Surveillance Technologies in Smart Cities. In Proc. of the 5th Int. Conf. on Smart Cities and Green ICT Systems. 1-12, April 2016. Rome: Italy.

Christopher M. and Pearl B. 2013. Tools to Support Systematic Literature Reviews in Software Engineering: A Mapping Study. In Proc. of the ACM/IEEE Int. Symposium on Empirical Software Engineering and Measurement. 296-299, October 2013. Baltimore: USA. doi:10.1109/ESEM.2013.32.

Zouhair I. B., Rachid D., Mohammed T., and Omar H. 2016. Automation in Code Generation: Tertiary and Systematic Mapping Review. In Proc. of the 4th IEEE Int. Colloquium on Information Science and Technology. 200-205, October 2016. Tangier: Morocco. doi:10.1109/CIST.2016.7805042.

Kai P., Robert F., Shahid M., and Michael M. 2008. Systematic Mapping Studies in Software Engineering. In Proc. of the 12th Int. Conf. on Evaluation and Assessment in Software Engineering. 68-77, June 2008. Swindon: United Kingdom.

Frank E., Alla R., JüRgen M., and Robert E. 2012. Reducing Test Effort: A Systematic Mapping Study on Existing Approaches. Information and Software Technology, 54(10), pp. 1092-1106. doi: 10.1016/j.infsof.2012.04.007.

Paulo A. M. S. N., Ivan C. M., John D. Mc-G., Eduardo S. de A., and Silvio R. L. M. 2011. A Systematic Mapping Study of Software Product Lines Testing. Information and Software Technology, 53(5), pp. 407-423. doi:10.1016/j.infsof.2010.12.003.

Aulia A. S., Kohei A., Herman T., Ahmad A. S., and Kiyoshi K. 2021. Augmented Reality in the Internet of Things (AR + IoT): A Review. Int. J. of Informatics and Computer Science, 5(3), pp. 258-265. doi:10.30865/ijics.v5i3.3341.

Noor M. M. N., Wan M. F. W. N., and Ahmad F. G. 2013. Supporting Decision Making in Situational Crime Prevention using Fuzzy Association Rule. In Proc. of the Int. Conf. on Computer, Control, Informatics and Its Applications. 225-229, Nov. 2013. Jakarta: Indonesia. doi:10.1109/IC3INA.2013.6819178.

Luca C., Tania C., Silvia C., Pierangelo G., Marco N., Barbara P., and Luca V. 2015. Monitoring the Citizens’ Perception on Urban Security in Smart City Environments. In Proc. of the 31st IEEE Int. Conf. on Data Engineering Workshops. 112-116, April 2015. Seoul: South Korea. doi:10.1109/ICDEW.2015.7129559.

Giles O., Tom C., and Dee B. 2015. CCTV as a Smart Sensor Network. In Proc. of the IEEE Int. Conf. on Computer and Information Technology; Ubiquitous Computing and Communications; Dependable, Autonomic and Secure Computing. 1878-1885, October 2015. Liverpool: United Kingdom. doi: 10.1109/CIT/IUCC/DASC/PICOM.2015.279.

Hong J. L. 2015. A Study on Social Issue Solutions Using the “Internet of Things” (Focusing on a Crime Prevention Camera System). Sage Journals – Int. J. of Distributed Sensor Networks, 11(9), pp. 1-8. doi:10.1155/2015/747593.

Nomusa D., Oscar G., and Andrew S. 2016. Internet of Things Technologies in Smart Cities. In Proc. of the IST-Africa Week Conference. 1-7, May 2016. Durban: South Africa. doi: 10.1109/ISTAFRICA.2016.7530575.

Aljawharah A. and M. A. H. 2016. Cloud-Based Parametrized Publish/Subscribe System for Public Safety Applications in Smarter Cities. In Proc. of the IEEE/ACM 9th Int. Conf. on Utility and Cloud Computing. 208-213, December 2016. Shanghai: China.

Jay L., Reshul D., Sumedh S., Ameye A., and Rishabh S. 2017. Emergency Services Platform for Smart Cities. In Proc. of the IEEE Region 10 Symp. 1-5, July 2017. Cochin: India. doi: 10.1109/TENCONSpring.2017.8070058.

Adelson A., Nelio C., Antonio C. T., Allan M., and Julio B. 2017. A Predictive Policing Application to Support Patrol Planning in Smart Cities. In Proc. of the Int. Smart Cities Conf. 1-6, September 2017. Wuxi: China. doi: 10.1109/ISC2.2017.8090817.

Zhe P., Bin X., Yuan Y., Jichang G., and Fan Y. 2017. U-safety: Urban Safety Analysis in a Smart City. In Proc. of the IEEE Int. Conf. on Communications. 1-6, May 2017. Paris: France. doi:10.1109/ICC.2017.7997102.

S. A., K. B. N., S. R. S., and L. J. 2017. Smart City Initiative: Traffic and Waste Management. In Proc. of the 2nd IEEE Int. Conf. on Recent Trends in Electronics, Information & Communication Technology. 1227-1231, May 2017. Bangalore: India. doi: 10.1109/RTEICT.2017.8256794.

Hugo B. C., Augusto J. V. N., Joel J. P. C. R., and Zhongliang Z. 2017. Applying Fog Computing to Improve Crime Assistance in Smart Transportation Safety Systems. In Proc. of the IEEE First Summer School on Smart Cities. 19-24, August 2017. Natal: Brazil. doi: 10.1109/S3C.2017.8501398.

Julio B., Daniel Z., Michael B., Nelio C., Allan M., Simon S., Samuel A., Patrick F., Timo K., Michaela E., and Johannes P. 2017. Feature Engineering for Crime Hotspot Detection. In Proc. of the SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI. 1-8, August 2017. San Francisco: USA. doi: 10.1109/UIC-ATC.2017.8397586.

Shivani A., Smit K., Jigar C., and Nidhi S. 2018. The Personal Stun-A Smart Device For Women’s Safety. In Proc. of the Int. Conf. on Smart City and Emerging Technology. 1-3, January 2018. Mumbai: India. doi: 10.1109/ICSCET.2018.8537376.

Prashanth B. B. and K. T. J. 2018. IoT Based Facial Recognition Security System. In Proc. of the Int. Conf. on Smart City and Emerging Technology. 1-4, January 2018. Mumbai: India. doi: 10.1109/ICSCET.2018.8537344.

Charlie C., Eugenio C., Domenico T., and Andrea V. 2018. A Data-Driven Approach for Spatio-Temporal Crime Predictions in Smart Cities. In Proc. of the IEEE Int. Conf. on Smart Computing. 17-24, June 2018. Taormina: Italy. doi: 10.1109/SMARTCOMP.2018.00069.

Rahul G., Arun M., and Gaurav R. 2018. A Comprehensive Analysis for Crime Prediction in Smart City Using R Programming. In Proc. of the 8th Int. Conf. on Cloud Computing, Data Science & Engineerin. 14-15, January 2018. Noida: India. doi: 10.1109/CONFLUENCE.2018.8442491.

Er S. K., Hamza A., Firoz A., and Sabiqua D. 2018. Simple Implementation of Criminal Investigation using Call Data Records (CDRs) through Big Data Technology. In Proc. of the Int. Conf. on Smart City and Emerging Technology. 1-5, January 2018. Mumbai: India. doi: 10.1109/ICSCET.2018.8537389.

Saurabh P., Nahida C., Milan P., Rajeev R. R., C. S. S., George M., and Jeremy C. 2018. CDASH: Community Data Analytics for Social Harm Prevention. In Proc. of the IEEE Int. Smart Cities Conf. 1-8, September 2018. Kansas City: USA. doi: 10.1109/ISC2.2018.8656957.

Renee Z. and Jonathan C. 2019. Crime and Bus Stops: An Examination using Transit Smart Card and Crime Data. Sage Journals - Environment and Planning B: Urban Analytics and City Science, 48(4), pp. 706-723. doi: 10.1177/2399808319890614.

Mun-su P. and Hwansoo L. 2020. Smart City Crime Prevention Services: The Incheon Free Economic Zone Case. MDPI - Sustainability, 12(14), pp. 1-13. doi:10.3390/su12145658.

Wangli H., Ruixian Z., Shancang L., Junyu L., Fuzhong L., Shanshan Z., and Wuping Z. 2020. Anomaly Event Detection in Security Surveillance Using Two-Stream Based Model. Hindawi - Security and Communication Networks, 2020(1), pp. 1-15. doi:10.1155/2020/8876056.

Pat O’M. and Gavin J. D. S. 2020. ‘Smart’ Crime Prevention? Digitization and Racialized Crime Control in a Smart City. Sage Journals, 26(1), pp. 40-56. doi:10.1177/13624806209727.

Julian L. and Hervé B. 2021. Technological Innovation in Policing and Crime Prevention: Practitioner perspectives from London. Sage Journals – Int. J. of Police Science & Management, 24(2), pp. 190-209. doi:10.1177/14613557211064053.

Maxine M. and Maureen T. 2022. The Use of a User-Centric Smart Mobile Application Prototype for Supporting Safety and Security in a City: A Design Science Method. In Proc. of the Int. Conf. on Social Implications of Computers in Developing Countries. 270-294, November 2022. Lima: Peru. doi:10.1007/978-3-031-19429-0_17.

Federico M. and Valerio C. 2022. Digital City-Surveillance Models and Urban Security: Integrating Isovist and Space Syntax in Realising Adaptive Decision Support Systems. In Proc. of the Int. Conf. on Computational Science and Its Applications. 353-369, July 2022. Malaga: Spain. doi: 10.1007/978-3-031-10536-4_24.

Mugisha D., Elizabeth S. M., Joyce N.-N., and Ggaliwango M. 2023. Crime Forecasting using Interpretable Regression Techniques. In Proc of the 7th Int. Conf. on Trends in Electronics and Informatics. 1405-1411, April 2023. doi: 10.1109/ICOEI56765.2023.10126071.

Muhammad I., Abdulsalam S. D., Saleh A., and Shabana H. 2023. IoT Enable Anomaly Detection System for Smart City Surveillance. MDPI - Sensors, 23(4), pp. 1-14. doi:10.3390/s23042358.

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Published

2023-12-25

How to Cite

Saberan, Subandi, & Aulia Akhrian Syahidi. (2023). Smart Crime Prevention in Smart City Tinjauan Pemetaan dan Rekomendasi Penerapan Sistem untuk Mendukung Smart Living di Banjarmasin Smart City. Prosiding SISFOTEK, 7(1), 131 - 138. Retrieved from http://seminar.iaii.or.id/index.php/SISFOTEK/article/view/435

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Section

3. Data dan Diseminasi Informasi